| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tottenham wins by over 1.5 goals | 20% | 18¢ | 20¢ | — | $2K | Trade → |
| Tottenham wins by over 2.5 goals | 7% | 7¢ | 8¢ | — | $2K | Trade → |
| Crystal Palace wins by over 2.5 goals | 3% | 4¢ | 5¢ | — | $299 | Trade → |
| Crystal Palace wins by over 1.5 goals | 0% | 12¢ | 13¢ | — | $0 | Trade → |
This market lets traders express views on the margin (spread) between Crystal Palace and Tottenham rather than merely who wins. Spread markets matter because they focus attention on how big a win or loss is likely to be, which is useful for hedging and more nuanced forecasting.
Tottenham typically plays at home with the advantages that come from venue familiarity and crowd support, while Crystal Palace are often organized defensively and can be effective on the counter. Spread markets for this fixture reflect not just relative team strength but recent form, squad availability, and tactical matchups that determine likely goal margins.
Market prices aggregate traders' views about which spread outcome is most likely and change as new information (lineups, injuries, weather) arrives. Use prices as a real-time signal of market consensus, not a guaranteed prediction.
The event page currently lists the close time as TBD; KALSHI typically posts an official close time on the market page and may close markets at kickoff, so check the platform’s event page for the definitive closing time and any updates.
Each outcome corresponds to a specified spread range or margin band (for example, which side covers by a certain number of goals); the exact labels and margin boundaries are shown on the KALSHI event page, so read those outcome descriptions to understand what each option pays out on.
Late news such as a key striker or central defender being ruled out, a surprise tactical switch by either manager, or confirmation of a weakened starting XI would be the most likely drivers of spread movement.
Home advantage tends to compress expected margins in favour of the home side, but it should be balanced against Palace’s recent away defensive record and any roster or tactical factors—prioritize immediate lineup and injury information over long-term averages.
Head-to-head history can reveal patterns (e.g., consistently close games or occasional large-margin wins) but is limited by small sample size and changing squads; treat it as one contextual input alongside current form, injuries, and tactical setup.